Has the running time protocol outlived its usefulness in today's socioeconomic environment of high school hockey?

Abstract

The use of running time protocol affected 18.3% of the hockey games played by the Girls Minnesota State High School League (MSHSL) and Wisconsin Interscholastic Athletic Association (WIAA) during the 2017-18 season. For the purposes of determining an accurate least squares rating profile of the teams in these two leagues, a correction term is derived, and applied to the raw game score to account for this known systematic error caused by running time clock management. During the analysis of league game data, it was found that the net effect of running time protocol varied with the magnitude of the final game score differential, and the time distribution of when goals were scored during each individual hockey game, i.e. the rate of scoring prior to the start of running time. Overall, it was observed that in 51.3% of these games that reached running time, the final raw game score differential was completely unaffected by the protocol, while in the remaining 48.7% of these games, the mean magnitude of the correction term was 1.052 goals per game. Averaging over all running time games, the average score correction is approximately one-half of a goal. Recommendations are made with respect to the justification of continuing the usage of running time in lop-sided high school level contests compared to the incremental increase in cost to these sporting events caused by running time.

Full text

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 0
Has the running time protocol outlived its usefulness in today's socioeconomic
environment of high school hockey?
Mack G. Stevens, Rader School of Business, Milwaukee School of Engineering
Matt H. Stevens, Aerosys Consulting LLC
Brock R. Matthews, Nelson College Prep
June 2018
Abstract
The use of running time protocol affected 18.3% of the hockey games played by the Girls
Minnesota State High School League (MSHSL) and Wisconsin Interscholastic Athletic
Association (WIAA) during the 2017-18 season. For the purposes of determining an accurate
least squares rating profile of the teams in these two leagues, a correction term is derived, and
applied to the raw game score to account for this known systematic error caused by running time
clock management. During the analysis of league game data, it was found that the net effect of
running time protocol varied with the magnitude of the final game score differential, and the time
distribution of when goals were scored during each individual hockey game, i.e. the rate of
scoring prior to the start of running time. Overall, it was observed that in 51.3% of these games
that reached running time, the final raw game score differential was completely unaffected by the
protocol, while in the remaining 48.7% of these games, the mean magnitude of the correction
term was 1.052 goals per game. Averaging over all running time games, the average score
correction is approximately one-half of a goal. Recommendations are made with respect to the
justification of continuing the usage of running time in lop-sided high school level contests
compared to the incremental increase in cost to these sporting events caused by running time.
Keywords: least-squares, ice hockey, systematic error, runtime protocol, rare event
_________________________________
*email: stevensmg@msoe.edu

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Table of Contents
1 Background ..................................................................................................................... ...............2
2 History ............................................................................................................................................3
3 Implications for sports rating systems.............................................................................................5
4 Discussion..................................................................................................................................... ..7
5 Conclusions ....................................................................................................................................12
6 Glossary..........................................................................................................................................15
7 References.......................................................................................................................................16
8 Appendix.........................................................................................................................................17
List of Tables
4-1 Summary of score correction factors for runtime games.................................................7
A-1 Games meeting running time criteria.............................................................................17
A-2 LSQRANK Final Rating Profile 2017-18......................................................................22
A-3 Tiered into four Symmetric Groups [58-58-58-57].......................................................26
A-4 Games eliminated by using five Asymmetric Groups [40-40-70-40-40]......................27
List of Figures
4.1 Percentage of runtime game scores adjusted for rating profile purposes..........................8
4.2 Percentage of runtime game scores not affected by clock protocol..................................8
4.3 Overall percentage of runtime games relative to a 5% threshold....................................10
4.4 Distribution of Runtime Games by Region......................................................................11

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1 Background
By the conclusion of the Girls Interscholastic High School 2017-18 hockey season in
Minnesota and Wisconsin, a total of 1,957 games were played by the teams in these two
intersecting leagues. A subset of 359 games resulted in scores that achieved runtime protocol
status, which is an astonishing 18.3% and is nearly one out of every five games played. For
those not familiar with this specific hockey terminology, runtime protocol refers to the operation
of the game clock as a result of an arbitrary non-standard set of conditions during the third period
of play set forth by a league's governing body. Under normal stop-time conditions in a closely
contested match from start to finish, the game clock can be stopped for various reasons such as
after a goal has been scored, or a penalty called, puck out of play, off-sides, icing, called bench
timeout, etc. During a hockey match where one team is deemed to be leading another by an
arbitrary margin during the third period of play, some, but not all leagues adopt another set of
game clock operation rules. For example, in the Minnesota State High School League (MSHSL)
if or when the leading team has accumulated a six goal leading advantage any time after the end
of the 2nd period of play, MSHSL rules stipulates that the game clock management changes to
running time mode, i.e. the clock runs continuously even during normal stoppages previously
mentioned until the end of regulation play, unless the losing team can narrow the gap by scoring
enough goals to reduce the margin below the designated runtime threshold. This change of game
operational rules has its implications for ranking systems that perform league wide hockey
ratings of its member teams (Massey). The runtime protocol can sometimes drastically alter the
flow of the game, and therefore should be accounted for by analytical means.

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2 History
The roots of runtime protocol at the high school (Midget) level are a carry-over from that
of youth hockey leagues across North America. In the opinion of many, the primary purpose of
this rule is to protect the children of the losing team from enduring undue psychological stresses
(or worst trauma) caused as a result of receiving a figurative pummeling on the ice in a contest
that its outcome has more or less been determined after two periods of play. One must consider
that runtime protocol has its merits for younger age groups from Mites to Bantams, but its
usefulness quickly diminishes at the high school level and older age groups. Opinions gathered
from conversations with several Junior A and college hockey scouts and coaches, essentially
running time protocol has three main flaws with regard to games played at the high school level.
First and foremost is that running time in most instances effectively shortens the overall
length of the game contest, thus limiting the game-time opportunities for all the players involved
and observation time of those hockey scouts, coaches, parents, other family and friends viewing
these games. On the players and parents side of this equation, by invoking running time, this in
effect acts as a taxation on the families making participation in the sport incrementally more
expensive. If one contemplates the considerable cost per minute of play (normally 51 stop-time
minutes per game) to host and attend these high school hockey games, increasing the expense
rate by invoking running time in an already cost prohibited sport is not the best of ideas nor a
logical procedure if the goal is to grow participation in the sport. Enthusiasm for the sport is
grown by bulk playing time, not by regulating its content in an inordinate manner. One might
actually argue that the incremental cost increase caused by running time protocol contributes to
the elitism by wealthier families who can afford the cost of their kids playing hockey (Ambrefe).
On the audience side, parents or scouts that may have traveled a significant distance and time to
arrive at the venue are there to watch a full game of hockey regardless of the final margin of the

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score. Families are there to watch their children and grandchildren participate as much as
possible, and are most probably quite annoyed by the runtime process, which may have an
unrealized effect by reducing monetary donations to these cash-strapped high school programs. It
is a valid possibility no matter from what side you argue this point.
Secondly, by invoking runtime protocol, one is denying these teenage players the full
opportunity and benefits of learning to constructively deal with a set of less than ideal conditions.
Running time protocol in some circles might be considered as a preventative mechanism to
minimize teasing by the leading team (Gray), but in reality this protocol is very detrimental to
the development of important social skills that can only be mastered by enduring and reconciling
one's actions and motivations in adverse situations, such as, in this case being on the
overwhelming short end of the stick (Berk). Studies performed by developmental psychologists
show that there is evidence to suggest that sports communities are being overly protective of our
teenagers which is causing them a large disservice in the long run (Williams). Lop-sided losses
in hockey games are opportunities to learn by, and not one to be avoided by minimizing the
event and even stigmatizing the situation with running time clock management.
Thirdly, the pace of the game can be altered in very unintuitive ways that defies the intent
of these non-standard rules that prematurely shorten the length of the contest. In many instances
when a game's scoring margin has become extremely lop-sided by the end of the 2nd period of
play, the leading team might be instructed by its coach to "call off the dogs" during the 3rd
period in which running time is in effect. Well intended, but possibly misguided policy makers
call this "good sportsmanship". On the other hand, this can cause the work ethic and mentality
of the players to change drastically, thus teaching or encouraging the players to not give it their
best on both sides of the ice due to the runtime stigma. This mentality not only disrespects the
opposing (losing) team, this degrades the game of hockey at its core, which relates back to the

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previously mention second point in the above paragraph. In addition, often times if a game
finally achieves running time, I have personally observed that it can have a reverse effect similar
to that of ringing the final lap bell in a track race. The leading team now tries to score as many
goals as possible before game time artificially runs out, thus upping their game contrary to the
intent of the protocol. This by the way is called "human nature", not poor sportsmanship.
3 Implications for sports rating systems
Sports team rating systems such as LSQRank that produce least squares adjustments of
game score differential values assume a certain level of homogeneity among the game data.
Specifically in ice hockey, that all games are conducted under uniform operating rules such as
stop-time operation of the game clock for a minimum of three equal length stop-time periods of
play. The implementation of runtime protocol during the third period of a high school hockey
game changes this assumption for approximately 20% of the games, thereby possibly creating a
systematic error in those data entries. Therefore a correction should be applied to the raw game
score to account for this error source. Correcting observation data for systematic errors is
commonplace in engineering surveying applications, such as correcting distance measurements
made with calibrated metal survey tapes for non-standard temperature conditions (Brinker and
Wolf). The error created by invoking runtime protocol is analogous to encountering colder
temperatures which shortens the surveyor's metal tape. In surveying & mapping, a temperature
based correction is applied to the observed distance measurement to correct for this known
systematic error. In the case of a hockey game shortened by runtime protocol, one should
compute a correction term to apply to the raw score tally to "lengthen" the game to standard
conditions. In essence, one is trying to estimate what the final score could or should have been if
the game had been allowed to operate under normal stop-time conditions. A reasonable method

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to compute a consistent error correction term involves determining the rate of scoring (ROS) by
the leading team prior to the start of running time (SORT). This prior rate can be divided into the
portion of time remaining on the game clock at the start of running time to obtain the number of
goals that are theoretically possible assuming the continuation of the previous scoring rate by the
leading team. For example, let's say that Team_A is leading Team_B by a score of seven to zero
goals by the end of the second period of play. Based on MSHSL rules, runtime protocol is
invoked for the 3rd period. The previous rate of scoring by Team_A is calculated as 34:00
minutes divided by 7 is equal to 4:51 minutes per goal scored during the first two periods.
Assuming a full 17:00 minute stop-time 3rd period, the theoretical number of additional stop
time goals (TSTG) that Team_A might potentially score is calculated by rounding down to the
whole integer value of 17:00 divided by 4:51, i.e. Truncate( 17:00/4:51 ) equals Truncate( 3.5 )
yields three goals. The next step in the calculation is to compare this value with the actual
number of goals scored by Team_A after the start of runtime protocol (GASORT). In our
example above, let's also assume that Team_A goes on to score an additional two goals during
the third period, yielding a final game score of nine to zero (9 to 0). Subtracting two (GASORT)
from three (TSTG), yields a one goal discrepancy between goals that might have been scored
under stop-time clock operation and what was actually scored during the third period under
runtime conditions. Whether or not Team_A would have scored that third goal is at best a fifty-
fifty proposition, therefore it is reasonable to add-back one-half the difference between the two
values to the raw game score as a correction term (Triola). In this case, for rating purposes, the
corrected score observation now becomes 9.5 to 0, thus incrementing a half goal to Team_A's
final tally. Table A-1 listed in the appendix contains the game data and correction terms applied
for each Girls high school hockey games played by Minnesota and Wisconsin teams during the
2017-18 season. Equations 3-1 and 3-2 below are used to compute this correction term.

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TSTG = Truncate( RTM / ROS@SORT ) 3-1
ADJ_Δ = [ 0.5 * (TSTG - GASORT) ] 3-2
for (TSTG - GASORT) > 0, otherwise Δ = 0
4 Discussion
The data contained in Table A-1 is condensed below in Table 4-1 which groups the data
according to the magnitude of game score differential. Note that a game score differential of six
goals or more accumulated by the start of /after the 3rd period invokes runtime clock
management protocol.
Table 4-1: Summary of Score Correction Factors for Runtime Games
Runtime Game Count
%
Average Correction
Score
Differential
RTG
INV
CUM
NA
ADJ
INV
CUM
NA /
RTG
ADJ /
RTG
NA
ADJ_Δ
6
133
359
86
47
100
65
35
0.0
0.98
7
79
226
35
44
63
44
56
0.0
0.81
8
59
147
27
32
41
46
54
0.0
1.02
9
28
88
14
14
25
50
50
0.0
1.29
10
24
60
12
12
17
50
50
0.0
1.17
11
17
36
6
11
10
35
65
0.0
1.55
12
8
19
3
5
5
38
63
0.0
1.6
13
7
11
0
7
3
0
100
0.0
1.29
>= 14
4
4
1
3
1
25
75
0.0
1.17
Total
359
0
184
175
Overall = 1.05
In Table 4-1 the column headings have the following meanings. RTG is the number of
runtime games for each level of raw score differential. INV_CUM is the reverse of the
cumulative total of the RTG column. NA is the count of runtime games that did not require a
numerical correction term to adjust its raw score. ADJ is the count of runtime games that
required a non-zero correction term. ADJ_Δ is the correction term computed by equation 3-2
above. Table 4-1 contains some very interesting and non-intuitive trends on further inspection.
Figure 4.1 below illustrates one of these patterns, showing the relationship between the game
score goal differential and the need to adjust that raw game score for rating purposes which is
contained in the ADJ/RTG column of Table 4-1. Figure 4.1 below contains two plotted lines,

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the black line represents the actual percentage of game scores adjusted, the pink line is a best
fitting (3rd degree polynomial) trend line modeling the black line. At the six goal differential,
approximately one-third (35%) of game scores require correction and subsequentially increases
to 56% and 54% for goal differentials of seven and eight goals, respectively. The trend line
takes a non-intuitive turn for game score differentials of nine and ten goals, it levels out at 50%.
This is counterintuitive to what one would assume based on the intent of the league policy
makers, i.e. a higher percentage would be expected for larger game score goal differentials, but
obviously this is not the case. If one plots the compliment of the same data in Figure 4.1, i.e. the
NA/RTG column the chart in Figure 4.2 is produced.
Runtime Game Scores Adjusted for Rating Purposes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
6 7 8 9 10 11 12 13 14
Raw Ga me Score Differenti al
% of Games Adjusted
>=
Figure 4.1: Percentage of runtime game scores adjusted for rating profile purposes.
Runtime Game Scores requiring no Adjustment for Rating Purposes
0%
10%
20%
30%
40%
50%
60%
70%
6 7 8 9 10 11 12 13 14
Raw Gam e Score Differentia l
% of Games
Figure 4.2: Percentage of runtime game scores not affected by clock protocol.

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In the Figures 4.1 and 4.2 above, we see that at the current runtime threshold of a six goal
differential, in almost two-thirds of these games the runtime clock management protocol has no
effect on the final outcome of the raw score. Of the remaining one-third of these games, the
computed game score correction is only 1.0 goals on average. At the seven and eight goal
differential level 55% of the games are affected with an average correction of 0.8 and 1.0 goals
per game respectively, and subsequently at the nine and ten goal differential 50% of the games
are affected, correcting by an average of 1.2 goals per game. Overall out of 359 games that
achieved runtime status, 184 games (51.3%) fell into the category which required a zero value
score correction term to be applied, and the other 175 games (48.7%) required on average, a
correction magnitude of approximately 1.05 goals. What this is indicating is that if these 359
games would have been allowed to operate under normal stop-time game clock management
rules, the final score differential in 51.3% of them would not have changed, and in the other
48.7% the score differential would most likely changed by a minuscule amount of 1.05 goals on
average. Figuratively, the white elephant in the room is this question: Why is runtime protocol
even necessary when the data shows such a negligible impact on the perceived mechanism that it
is intended to mitigate? Considering the reasons elaborated in section 2 of this paper, the
implementation of runtime protocol for high school age hockey games is of little value with
respect to the incremental increase in cost to the game and its players, coaches, parents and fans
who spend significant resources preparing, hosting and observing these games. With that said, it
is recognized that there will always be a few obstinate policy makers who will argue until they
are blue in the face contrary to the preponderance of data that supports the abandonment of
running time protocol. For those people, perhaps let's consider a compromising option by
changing the threshold of the score differential to that which reflects a more realistic value. This
new value should be one such that the invocation of running time now becomes a "rare event",

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instead of being common place. In Figure 4.3 below, a trend line showing the relationship
between score differential and running time game cumulative frequency (in %) is shown. In
addition, a red horizon arrow is plotted at the 5% level, which is often used to designate the
threshold of rare events (Triola). The corresponding score differential at the 5% level is
approximately nine goals, which would become the new threshold value used to designate the
start of running time in a lop-sided game.
Perce ntage of Runtim e Games
0%
5%
10%
15%
20%
6 7 8 9 10 11 12
Game Scor e Differ ential
% Overall Games
2017-18 Minnesota & Wisconsin Girls HS Hockey
Figure 4.3: Overall percentage of runtime games relative to a standard 5% rare event threshold.
Another approach to the problematic issue of runtime games that should be highly
considered is to modify current regular season game scheduling methods in such a way that the
likelihood of producing a runtime game is reduced or nearly eliminated. Let's use Warroad HS
to illustrate this point. One might surmise that it makes absolutely no sense for Warroad HS to
travel 2.5 hours to Crookston, MN to play a shorten runtime game when it can travel the same
time and distance to Winnipeg and play a much more competitive game against the likes of Saint
Mary's Academy or Balmoral Hall School (both are Preparatory High Schools located in
Winnipeg, MB). Additionally, provided amendments are made to a few league scheduling rules,
it would be far more beneficial for Warroad to play the Pembina Valley Hawks 17U, which is
actually closer to home than Crookston and several other northern Minnesota opponents. The

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same argument can be used for weaker out-state Minnesota teams to play other out-of-state
teams in both North and South Dakota and Wisconsin, without significantly adding to travel
time, and instead playing a much more evenly matched game which benefits both teams, and
additionally the team not scheduled, creating a three way (win-win-win) scenario rather than a
shorten (lose-lose) runtime game.
Figure 4.4 below shows the distribution of the occurrence of runtime games within and
between the regions that make-up the two girls' high school leagues. These regions are divided
into: (1) Metro MN (Twin Cities and surrounding areas); (2) Out-State MN (Non-Metro); (3)
Wisconsin; and (4) Mixed (comprised mostly of Metro MN vs Out-State).
Distribition of Runtime Game s
Mixed 13%
Metro MN 25%
Out-State MN 39%
Wis 23%
Figure 4.4: Distribution of Runtime Games by Region.
In Figure 4.4, one can identify two opportunities where one could essentially use smart
structured scheduling to eliminate the majority of the most egregiously runtime game match-ups.
The region that contains the largest proportion of runtime games is the Out-State MN
(Minnesota), followed by Metro MN and Wisconsin, and finally inter-regional games to a
smaller degree. Table A-2 in the appendix contains an ordered ranking profile of the 2017-18
high school age teams including and surrounding Minnesota and Wisconsin, (i.e. Northwestern
Ontario, Manitoba, North Dakota, South Dakota, and Illinois). It is divided into four equal count
groups of approximately 60 teams in each group. The concept is rather straight forward, which
is that any one team should schedule regular season games primarily if not exclusively against
teams in their group and adjacent group(s). For example, teams in Group 1 would schedule

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games against other teams in Group 1 and Group 2, but not against teams in Group 3 or 4.
Continuing, Teams in Group 2 could schedule games against other teams in Group 2 and Groups
1 and 3, but not against teams in Group 4. Teams in Group 3 could schedule games against other
teams in Groups 3, 2 and 4, but not against teams in Group 1. And finally, teams in Group 4
would schedule games against other teams in Group 4 and Group 3, but not against teams in
Group 1 or 2. This concept is certainly not new, and variations of this methodology are used in
many other sports leagues to insure competitive and entertaining sporting events between its
contestants. For illustration purposes, let's consider a subset of the total 359
1
runtime games (see
Table A-3). Using the 88 runtime games that achieved a 9 goal or greater score differential there
were 11 games played during the State Sectional play-offs which are non-applicable to this
analysis. Out of the remaining 77 runtime games in this subset, 51 games (66%) were between
teams that violate the tiered method above, i.e. these games could have been avoided simply by
scheduling games against similar talented teams. The remaining 26 games (one-third) would
have occurred regardless if a four group division were implemented. Slightly better results to
eliminate more potential runtime games can be achieved by using an asymmetric five group
division [40-40-70-40-40]. In this case, an additional 18 out of the previously remaining 26
runtime games could have been avoided. Although the potential for fewer runtime games is
achieved using an asymmetrical five group scheduling system, it is not without its logistical
challenges for the northern Minnesota teams where the density of girls teams is sparse. The
trade-off is travel time (and travel $) over to North Dakota and north to Winnipeg, MB versus the
need for evenly matched games between all teams.
5 Conclusion
The implementation of running time protocol affects 18.3% of the hockey games played
by the Girls Minnesota State High School League (MSHSL) and Wisconsin Interscholastic
Athletic Association (WIAA). For the purposes of determining an accurate rating profile of the
teams in these two leagues, a correction term is applied to the raw game score to account for this
known systematic error caused by running time clock management. During our analysis of the
1
Thirty-two games out of the total 359 occurred during either Sectional or State Tournament Play-Offs, and
therefore are non-applicable with respect to using a tiered scheduling approach.

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season's game data, it was found that the net effect of running time protocol varied with the
magnitude of the final game score differential, and the time distribution of goals scored during
each individual hockey game. Overall, it was determined that in 51.3% of these game that
reached running time their final game score differential was unaffected by the protocol, while in
the remaining 48.7% of these games, the mean magnitude of the correction term was 1.052 goals
per game. Averaging over all running time games, the final score correction is approximately
one-half of a goal.
Even though the final scores for only approximately half of these running time games are
directly affected, 100% the games are negatively impacted by the premature shortening of the
playing time. Under running time, the amount of loss playing time can vary depending upon the
flow of the game involving called penalties, goals scored and other common game time
stoppages. In these situations, diligent referees on the ice generally try to minimize the amount
of loss playing time because as former players themselves, they are cognizant of the ill effects
(stigmatizing) caused by the non-stop clock operation. Determining the actual loss of playing
time for a running time game is imprecise based solely off of published hockey hub game score
sheets. Unless one is in attendance of such game and keeping track of the actual loss of playing
time with a smart phone stop-watch application, one can only guesstimate the actual value of loss
time to these players. Based on a random set of attended running time games, it was observed
that for every normal stoppage of play, as much as 20 to 30 seconds of loss playing time occurs
each time. Over the course of an entire 3rd period of play, perhaps as much as five minutes of
loss stop-time accumulates, which translates to a 30% reduction of playing for that period, and
10% reduction over the entire game. Out of the 359 games listed in Table A-1, a count of 155
games which is 8% of all games played this season had their entire 3rd period played under
running time protocol at an estimated increased game taxation of 10% simply to prevent an

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average of an additional one-half goal being scored by the leading team in a lop-sided contest. In
addition, another 204 games (10.3% of total games played during the season) had an average of
7.66 minutes of running time (45% of a regular 17 minute stop-time period) during the 3rd
period which translate to an approximate 4.5% taxation over the span of a game.
Considering the economics of the increased cost to the game of hockey at the girl's high
school level, running time protocol is clearly not justifiable. It is recommended that the usage of
running time protocol be eliminated all together because its means just not justify the net result
on the scoreboard, or the incremental cost to the game, its players and their supporters. If policy
makers cannot find it possible within their Puritian souls to entirely pull the plug on the use of
running time, then alternatively the threshold before invoking runtime should be raised to a nine
goal game score differential to minimize its occurrence to that of a statistically rare event, i.e.
less than 5% of all games played. Finally, a tiered regular season scheduling system should be
implemented based on the previous year's computerized inter-league team ratings to significantly
reduce the potential for runtime game outcomes resulting in a higher percentage of evenly
matched contests.

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6 Glossary
Human Nature
The general psychological characteristics, feelings, and behavioral traits of humankind, regarded
as shared by all humans.
Least-squares
The best fit in the least-squares sense minimizes the sum of squared residuals (a residual being:
the difference between an observed value, and the fitted value provided by a model). The method
of least squares is a standard approach in regression analysis to approximate the solution of over
determined systems, i.e., sets of equations in which there are more equations than unknowns.
Mites . Squirts . Peewees . Bantams . Midgets
Registered teams play in the classifications of 8-and-Under (mite), 10-and-Under (squirt), 12-
and-Under (peewee), 14-and-Under (bantam), 16-and-Under (minor-midget) and 18-and-Under
(major-midget).
Random Error
Random errors in experimental measurements are caused by unknown and unpredictable changes
in the experiment. These changes may occur in the measuring instruments or in the
environmental conditions.
Ranking System
Computerized software that calculates ordinal and continuous scale rankings of teams within a
network of intersecting or overlapping sports leagues
Rare Event
Rare events are discrete occurrences that are statistically “improbable” in that they are very
infrequently observed, usually occurring less than 5% of the time. Despite being statistically
improbable, such events are plausible insofar as historical instances of the event (or a similar
event) have been documented.
Runtime Protocol
A set of rules governing the operation of the game clock during the third period of play in lop-
sided contests.
Sportsmanship
Fair and generous behavior or treatment of others, especially in a sports contest.
Systematic Error
Systematic errors in experimental observations usually come from the measuring instruments.
They may occur because: there is something wrong with the instrument or its data handling
system, or because the instrument is wrongly used by the experimenter or a change in non-
standard environmental conditions compared to calibration conditions, such as temperature or
other non-standard operating procedures in measuring systems.

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7 References
Ambrefe, John. “Conversations with John Ambrefe, HC/GM Springfield Express (WSHL).” 20
Sept. 2016.
Berk, Laura E. Development through the Lifespan. Pearson, 2014.
Brinker, Russell Charles, and Paul R. Wolf. Elementary Surveying. Crowell, 1977.
Ghilani, Charles and Paul R. Wolf (2006), Adjustment Computations: spatial data analysis. Wiley, 4th
ed., 611 pages.
Gray, Peter. “The Educative Value of Teasing.” Psychology Today, Sussex Publishers, 13 Jan.
2013, www.psychologytoday.com/blog/freedom-learn/201301/the-educative-value-teasing-0.
Massey, Kenneth. (1997), Statistical Models Applied to the Rating of Sports Teams. Masters's Thesis.
Bluefield College. < http://www.masseyratings.com/theory/massey97.pdf>
Triola, Mario F. (2015), Essentials of Statistics. Pearson, 5th ed. 670 pages.
Williams, Grace Marguerite. “Children of Overprotective Parents Are Slated for F-A-I-L-U-R-E
in Life.” WeHaveKids, WeHaveKids, 24 June 2016, wehavekids.com/parenting/Children-of-
Overprotective-Parents-Are-Slated-For-Failure.

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 17
8 Appendix
Table A-1: Games meeting running time criteria
SORT = Start of Runtime
ROS = Rate of Scoring
RTM = Runtime Minutes
TSTG = Theoretical Stop-time Goals
GASORT = Goals After SORT
TSTG = RND(RTM/ROS@SORT) G
ADJ = [0.5*(TSTG-GASORT)] A
T S
R O
RAW SCORE SORT ROS T R
yyyy mm dd Team_1 Team_2 S1 S2 3rd @SORT RTM G T ADJ Action
=================================================================== ==== ===== ===== ====== ==== =======
2017 12 27 Minot Warroad 0 20 0:00 2:37 17:00 6 7 0.0 NA
2017 11 30 Crookston Warroad 0 18 0:00 2:26 17:00 7 4 1.5 ADJ
2018 02 12 ParkRapids Warroad 0 15 0:00 2:50 17:00 6 3 1.5 ADJ
2018 02 10 RobbinsdaleArmstrong Edina 0 14 0:00 3:24 17:00 5 4 0.5 ADJ
2017 02 07 RochesterCentury Farmington 1 14 0:00 2:37 17:00 6 1 2.5 ADJ
2017 11 30 Worthington NewUlm 1 14 0:00 3:24 17:00 5 4 0.5 ADJ
2017 11 24 Duluth Edina 1 14 0:00 3:24 17:00 5 4 0.5 ADJ
2017 11 14 ParkRapids Warroad 0 13 0:00 3:24 17:00 5 3 1.0 ADJ
2018 01 18 Owatonna RochesterCentury 13 0 0:00 3:24 17:00 5 3 1.0 ADJ
2018 02 10 Irondale Hill-Murray 0 13 0:00 3:24 17:00 5 3 1.0 ADJ
2018 01 18 Waseca RochesterLourdes 0 13 0:00 2:50 17:00 6 1 2.5 ADJ
2017 12 16 BadgerLightning WesternWis 1 13 0:00 3:24 17:00 5 3 1.0 ADJ
2018 01 16 AlbertLea Northfield 0 12 0:00 2:50 17:00 5 1 2.0 ADJ
2018 01 27 Medford Warbirds 0 12 0:00 2:50 17:00 5 1 2.0 ADJ
2017 12 09 SuperiorSpartans Hudson 0 12 0:00 3:24 17:00 5 2 1.5 ADJ
2017 02 07 Waseca Faribault 0 12 0:00 3:24 17:00 5 2 1.5 ADJ
2017 12 12 NewUlm Fairmont 14 2 0:00 3:47 17:00 4 5 0.0 NA
2017 11 30 Medford HaywardCo-Op 1 13 0:00 4:15 17:00 4 5 0.0 NA
2017 11 11 Irondale Andover 0 12 0:00 4:15 17:00 4 4 0.0 NA
2017 11 16 Rosemount AppleValley 1 12 0:00 2:50 17:00 6 0 3.0 ADJ
2017 12 15 Hastings Hill-Murray 1 12 0:00 2:50 17:00 6 0 3.0 ADJ
2018 01 23 Fairmont NewUlm 0 11 0:00 3:05 17:00 5 0 2.5 ADJ
2017 12 12 MorrisArea/BensonArea PrairieCentre 1 12 0:00 3:24 17:00 5 2 1.5 ADJ
2017 12 28 Medford Viroqua 1 12 0:00 3:24 17:00 5 2 1.5 ADJ
2018 01 23 Osseo/ParkCenter Andover 1 12 0:00 3:24 17:00 5 2 1.5 ADJ
2018 02 16 BadgerLightning RockCounty 1 12 0:00 3:24 17:00 5 2 1.5 ADJ
2017 12 30 Fairmont Eveleth-Gilbert 1 12 0:00 3:47 17:00 4 3 0.5 ADJ
2017 11 18 RobbinsdaleArmstrong Centennial 0 11 0:00 4:15 17:00 4 3 0.5 ADJ
2018 01 04 Bemidji ParkRapids 11 0 0:00 4:15 17:00 4 3 0.5 ADJ
2017 12 19 NorthernLakes Cambridge-Isanti/Mora 0 11 0:00 3:47 17:00 4 2 1.0 ADJ
2017 12 21 NorthernLakes MorrisArea/BensonArea 13 2 0:00 3:45 17:00 4 4 0.0 NA
2017 11 17 NorthlandPines Warbirds 1 12 0:00 4:15 17:00 4 4 0.0 NA
2018 01 13 Crookston InternationalFalls 1 12 0:00 4:15 17:00 4 4 0.0 NA
2017 12 01 BadgerLightning Warbirds 1 12 0:00 4:51 17:00 3 5 0.0 NA
2017 12 02 Fairmont MinnehahaUnited 0 11 0:00 5:40 17:00 3 5 0.0 NA
2018 01 20 EauClaire-Altoona SuperiorSpartans 11 0 0:00 4:51 17:00 3 4 0.0 NA
2018 02 10 MinnehahaUnited Blake 0 10 0:00 3:24 17:00 5 0 2.5 ADJ
2018 01 18 RedWing Austin 12 2 0:00 3:24 17:00 5 2 1.5 ADJ
2017 11 21 Centennial Osseo/ParkCenter 13 3 0:00 3:24 17:00 5 3 1.0 ADJ
2017 11 14 RochesterJohnMarshall HolyFamily/Waconia 1 11 0:00 3:47 17:00 4 2 1.0 ADJ
2018 01 18 ParkRapids NorthernLakes 0 10 0:00 3:47 17:00 4 1 1.5 ADJ
2017 11 24 MorrisArea/BensonArea MinnehahaUnited 0 10 0:00 4:15 17:00 4 2 1.0 ADJ
2017 12 19 EastGrandForks Crookston 10 0 0:00 4:15 17:00 4 2 1.0 ADJ
2017 12 28 WhiteBearLake Mandan 10 0 0:00 4:15 17:00 4 2 1.0 ADJ
2017 12 30 DodgeCounty Crookston 10 0 0:00 4:15 17:00 4 2 1.0 ADJ
2018 01 30 MorrisArea/BensonArea NorthernLakes 0 10 0:00 4:15 17:00 4 2 1.0 ADJ
2018 02 10 Austin RedWing 0 10 0:00 4:15 17:00 4 2 1.0 ADJ
2017 11 25 ParkRapids ThiefRiverFalls 0 10 0:00 4:32 17:00 3 2 0.5 ADJ
2018 01 25 RobbinsdaleArmstrong Wayzata 0 10 0:00 4:51 17:00 3 4 0.0 NA
2018 02 13 ChisagoLakes Breck 0 10 0:00 4:51 17:00 3 4 0.0 NA
2017 12 08 NorthlandPines USMWildcats 0 10 0:00 4:51 17:00 3 3 0.0 NA
2017 11 28 PriorLake Minnetonka 0 10 0:00 4:51 17:00 3 3 0.0 NA
2017 11 14 Crookston EastGrandForks 0 10 0:00 4:50 17:00 3 3 0.0 NA
2017 12 12 RochesterCentury RedWing 0 10 0:00 4:51 17:00 3 3 0.0 NA
2017 12 16 ParkRapids EastGrandForks 0 10 0:00 4:51 17:00 3 3 0.0 NA
2017 12 07 Medford Lakeland 0 10 0:00 4:51 17:00 3 3 0.0 NA
2018 01 12 InternationalFalls ParkRapids 10 0 0:00 4:51 17:00 3 3 0.0 NA
2018 01 27 Woodbury ForestLake 0 10 0:00 4:51 17:00 3 3 0.0 NA

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 18
2018 02 08 MorrisArea/BensonArea FergusFalls 0 10 0:00 4:51 17:00 3 3 0.0 NA
2018 01 23 Hopkins/St.LouisPark Edina 0 10 2:45 6:07 14:15 2 4 0.0 NA
2017 12 12 AlbertLea RochesterMayo 2 11 0:00 4:15 17:00 4 3 0.5 ADJ
2017 11 18 St.PaulBlades Mahtomedi 1 10 0:00 3:47 17:00 4 1 1.5 ADJ
2018 01 02 MinnehahaUnited St.PaulUnited 1 10 0:00 3:47 17:00 4 1 1.5 ADJ
2018 01 06 Hudson LakeshoreLightning 10 1 0:00 4:15 17:00 4 2 1.0 ADJ
2018 01 13 RochesterCentury Northfield 0 9 0:00 3:47 17:00 4 0 2.0 ADJ
2017 11 24 Jamestown FergusFalls 0 9 0:00 4:15 17:00 4 1 1.5 ADJ
2017 11 24 Proctor/Hermantown Blake 0 9 0:00 4:51 17:00 3 2 0.5 ADJ
2017 11 30 RockCounty BadgerLightning 9 0 0:00 4:15 17:00 4 1 1.5 ADJ
2017 12 12 Eveleth-Gilbert Proctor/Hermantown 0 9 0:00 4:15 17:00 4 1 1.5 ADJ
2018 01 09 AlbertLea MinnehahaUnited 0 9 0:00 4:15 17:00 4 1 1.5 ADJ
2017 12 19 BloomingtonJefferson Edina 0 9 0:00 3:47 17:00 4 0 2.0 ADJ
2018 01 30 Breck MinnehahaUnited 9 0 0:00 3:47 17:00 4 0 2.0 ADJ
2017 12 16 Medford Lakeland 0 9 0:00 4:51 17:00 3 2 0.5 ADJ
2017 11 11 Buffalo Hopkins/St.LouisPark 0 9 0:00 4:50 17:00 3 2 0.5 ADJ
2018 01 02 RochesterMayo RochesterCentury 9 0 0:00 5:40 17:00 3 3 0.0 NA
2018 01 30 NewPrague RochesterJohnMarshall 9 0 0:00 5:40 17:00 3 3 0.0 NA
2017 11 28 Bemidji Warroad 1 10 0:00 4:51 17:00 3 3 0.0 NA
2017 12 01 RochesterJohnMarshall DodgeCounty 1 10 0:00 4:51 17:00 3 3 0.0 NA
2018 01 18 Fairmont Marshall 1 10 0:00 4:51 17:00 3 3 0.0 NA
2018 01 08 EastGrandForks ParkRapids 10 1 0:00 5:40 17:00 3 4 0.0 NA
2018 01 16 Medford NorthernEdge 0 9 0:00 5:40 17:00 3 3 0.0 NA
2018 02 08 Fairmont MankatoWest 0 9 0:00 5:40 17:00 3 3 0.0 NA
2018 02 15 Medford CentralWisconsin 0 9 0:16 5:45 16:44 3 3 0.0 NA
2017 11 18 Crookston FergusFalls 0 9 1:59 6:00 15:01 2 3 0.0 NA
2018 01 23 Roseau Moorhead 9 0 3:23 6:14 13:37 2 3 0.0 NA
2017 11 18 HolyFamily/Waconia NorthernLakes 10 1 3:29 5:21 13:31 2 3 0.0 NA
2017 12 29 Arrowhead Fairmont 9 0 3:36 6:16 13:24 3 3 0.0 NA
2017 12 27 RiverLakes Farmington 0 9 5:47 6:38 11:13 1 3 0.0 NA
2017 11 21 RochesterLourdes Farmington 1 9 0:00 4:15 17:00 4 1 1.5 ADJ
2017 11 28 BlackRiverFalls Medford 9 1 0:00 4:15 17:00 4 1 1.5 ADJ
2017 12 28 Luverne Fairmont 9 1 0:00 4:15 17:00 4 1 1.5 ADJ
2017 12 30 Medford NorthernEdge 1 9 0:00 4:15 17:00 4 1 1.5 ADJ
2018 01 30 Crookston DetroitLakes 1 9 0:00 4:15 17:00 4 1 1.5 ADJ
2018 01 16 St.PaulUnited HolyAngels 9 1 0:00 4:51 17:00 3 2 0.5 ADJ
2017 12 29 Worthington RochesterJohnMarshall 2 10 0:00 3:47 17:00 4 1 1.5 ADJ
2017 11 21 RochesterCentury Owatonna 2 10 1:20 4:25 15:40 3 2 0.5 ADJ
2017 12 28 PriorLake Bemidji 9 1 0:45 4:58 16:15 3 2 0.5 ADJ
2018 01 20 Breck HolyAngels 9 1 0:00 5:40 17:00 3 3 0.0 NA
2018 01 30 RedWing AlbertLea 10 2 1:56 5:08 15:04 3 3 0.0 NA
2018 01 25 Fairmont MinnesotaRiver 1 9 2:33 5:13 14:27 2 2 0.0 NA
2018 01 16 Roseau Bemidji 9 1 3:54 5:25 13:06 2 2 0.0 NA
2018 01 27 Cambridge-Isanti/Mora NorthShore 10 2 4:53 4:52 12:07 2 2 0.0 NA
2017 11 14 MankatoWest Worthington 10 2 5:08 5:17 11:52 2 3 0.0 NA
2017 12 29 Austin RochesterLourdes 1 9 5:21 5:40 11:39 2 3 0.0 NA
2017 12 12 InternationalFalls Warroad 1 9 6:21 6:44 10:39 1 3 0.0 NA
2018 01 12 Crookston Hibbing/Chisholm 1 9 7:51 5:59 9:09 1 2 0.0 NA
2018 01 08 ThiefRiverFalls Crookston 9 1 8:22 6:03 8:38 1 2 0.0 NA
2017 11 30 MankatoEast Fairmont 10 2 8:39 5:20 8:21 1 2 0.0 NA
2017 12 26 EastRidge Hill-Murray 3 11 9:14 4:48 7:46 1 2 0.0 NA
2018 01 16 EastRidge ForestLake 3 11 11:51 5:06 5:09 1 2 0.0 NA
2017 11 22 St.PaulBlades St.CroixValley 0 8 0:00 4:15 17:00 4 0 2.0 ADJ
2017 11 28 Hutchinson MankatoEast 8 0 0:00 4:15 17:00 4 0 2.0 ADJ
2017 12 22 NorthWrightCounty Bemidji 8 0 0:00 4:15 17:00 4 0 2.0 ADJ
2018 01 16 NewUlm Worthington 8 0 0:00 4:15 17:00 4 0 2.0 ADJ
2017 11 18 Blake EastRidge 8 0 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 09 MinnehahaUnited Blake 0 8 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 05 Icebergs RockCounty 0 8 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 12 NorthernEdge Medford 8 0 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 14 MinnesotaRiver Waseca 0 8 0.00 4:51 17:00 3 1 1.0 ADJ
2017 12 21 Worthington Luverne 0 8 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 27 CentralWisconsin Mandan 8 0 0:00 4:51 17:00 3 1 1.0 ADJ
2018 01 23 CapCityCougars BadgerLightning 8 0 0:00 4:51 17:00 3 1 1.0 ADJ
2018 01 27 Lakeland Medford 8 0 0:00 4:51 17:00 3 1 1.0 ADJ
2017 12 14 St.CroixValley ChippewaFalls/Menomonie 8 0 0.00 4:51 17:00 3 2 0.5 ADJ
2017 12 29 RochesterCentury Waseca 0 8 0:00 5:40 17:00 3 2 0.5 ADJ
2017 11 25 Arrowhead FoxCitiesStars 0 8 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 08 BadgerLightning RockCounty 0 8 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 09 EastGrandForks GrandForks 8 0 0:00 5:40 17:00 3 2 0.5 ADJ
2017 11 14 Anoka Irondale 8 0 0:00 5:40 17:00 3 2 0.5 ADJ
2017 11 18 Fairmont MankatoWest 0 8 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 23 RobbinsdaleArmstrong Anoka 0 8 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 25 NewUlm Waseca 8 0 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 30 BlackRiverFalls BadgerLightning 8 0 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 19 ChippewaFalls/Menomoni BadgerLightning 8 0 0:45 5:47 16:15 2 2 0.0 NA
2018 02 01 Rosemount LakevilleSouth 0 8 0:47 5:47 16:16 2 2 0.0 NA
2017 11 24 MorrisArea/BensonArea Marshall 0 8 1:00 5:50 16:00 2 2 0.0 NA
2018 01 23 Irondale Centennial 0 8 1:17 5:53 15:43 2 2 0.0 NA
2017 12 15 Warroad Bemidji 8 0 1:19 5:53 15:41 2 2 0.0 NA

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 19
2017 12 19 Hill-Murray NorthSt.Paul/Tartan 8 0 1:31 5:55 15:29 2 2 0.0 NA
2017 12 27 FoxCitiesStars EauClaire-Altoona 0 8 2:04 6:01 14:56 2 2 0.0 NA
2018 01 04 Windom Fairmont 8 0 2:20 6:03 14:40 2 2 0.0 NA
2017 11 21 NewUlm Luverne 8 0 3:29 6:15 13:31 2 2 0.0 NA
2018 01 20 Andover RobbinsdaleArmstrong 8 0 4:16 6:23 12:44 2 2 0.0 NA
2018 01 06 Cambridge-Isanti/Mora PrairieCentre 8 0 4:41 6:27 12:19 1 2 0.0 NA
2017 12 01 Worthington Marshall 0 8 6:49 6:48 10:11 1 2 0.0 NA
2018 01 23 FergusFalls Brainerd/LittleFalls 0 8 11:46 7:38 5:14 0 2 0.0 NA
2017 11 25 WestFargo Crookston 8 0 11:59 6:40 5:01 0 2 0.0 NA
2017 11 28 Austin RochesterMayo 3 10 0:00 4:15 17:00 4 2 1.0 ADJ
2017 12 05 Waseca NewUlm 3 10 0:52 4:22 16:08 3 2 0.5 ADJ
2017 12 27 AppletonUnited EauClaire-Altoona 2 9 0:00 4:51 17:00 3 2 0.5 ADJ
2018 01 13 WesternWis BadgerLightning 9 2 0:31 4:19 16:29 3 1 1.0 ADJ
2017 11 25 Princeton RochesterJohnMarshall 9 2 2:20 4:32 14:40 3 1 1.0 ADJ
2017 12 21 Marshall Fairmont 9 2 4:54 4:52 12:06 2 1 0.5 ADJ
2017 11 18 Osseo/ParkCenter Blaine 1 8 0:00 4:15 17:00 4 0 2.0 ADJ
2017 11 18 St.CroixValley RochesterJohnMarshall 8 1 0:00 4:51 17:00 3 2 0.5 ADJ
2017 12 12 Hill-Murray Simley 8 1 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 20 LakeshoreLightning Medford 8 1 0:00 5:40 17:00 3 2 0.5 ADJ
2018 02 01 MankatoEast RedWing 1 8 0:00 5:40 17:00 3 2 0.5 ADJ
2018 01 16 RochesterJohnMarshall RochesterCentury 8 1 0:00 4:51 17:00 3 1 1.0 ADJ
2018 01 18 Totino-Grace Centennial 1 8 0:00 4:51 17:00 3 1 1.0 ADJ
2018 02 01 FoxCitiesStars BayArea 8 1 0:00 4:51 17:00 3 1 1.0 ADJ
2018 02 03 Mahtomedi NorthShore 9 2 0:00 4:51 17:00 3 2 0.5 ADJ
2018 02 21 Marshall Breck 2 9 0:00 4:51 17:00 3 2 0.5 ADJ
2018 02 08 MinnesotaRiver MoundWestonka 1 8 2:29 5:13 14:31 2 1 0.5 ADJ
2017 12 02 EdenPrairie PriorLake 8 1 3:29 5:21 13:31 2 1 0.5 ADJ
2017 12 09 ParkofCottageGrove Cretin-DerhamHall 1 8 5:19 5:37 11:41 2 1 0.5 ADJ
2017 12 12 SouthStPaul Hastings 9 2 2:13 5:10 12:47 2 2 0.0 NA
2017 11 21 RochesterJohnMarshall Northfield 1 8 2:16 6:00 11:05 1 2 0.0 NA
2018 02 02 Medford NorthlandPines 1 8 9:10 7:12 7:50 1 2 0.0 NA
2018 01 05 MetroLynx BadgerLightning 8 1 10:27 6:21 6:33 1 1 0.0 NA
2018 01 20 St.CroixValley BayArea 9 2 10:30 5:34 6:30 1 1 0.0 NA
2017 12 16 ForestLake Woodbury 8 1 10:57 6:25 6:03 0 1 0.0 NA
2018 01 05 RobbinsdaleArmstrong DodgeCounty 1 8 11:05 6:26 5:55 0 1 0.0 NA
2017 12 27 Faribault RochesterLourdes 1 8 11:20 6:29 5:40 0 1 0.0 NA
2018 02 15 SuperiorSpartans St.CroixValley 1 8 11:36 6:31 5:34 0 1 0.0 NA
2018 02 20 BayArea Warbirds 1 8 11:41 6:32 5:19 0 1 0.0 NA
2018 01 16 SuperiorSpartans MooseLakeArea 3 10 12:22 5:09 4:38 0 1 0.0 NA
2018 01 19 NorthlandPines Medford 10 3 12:44 5:12 4:16 0 1 0.0 NA
2017 11 21 EdenPrairie Blake 1 8 13:57 6:51 3:03 0 0 0.0 NA
2017 11 18 EastGrandForks DetroitLakes 8 1 14:29 6:56 2:31 0 0 0.0 NA
2017 11 10 Owatonna St.PaulBlades 7 0 0:00 4:51 17:00 3 0 1.5 ADJ
2017 12 28 Centennial Rogers 7 0 0:00 4:51 17:00 3 0 1.5 ADJ
2018 01 09 Luverne Fairmont 7 0 0:00 4:51 17:00 3 0 1.5 ADJ
2018 01 13 RockCounty Icebergs 7 0 0:00 4:51 17:00 3 0 1.5 ADJ
2018 01 30 RobbinsdaleArmstrong ElkRiver/Zimmerman 0 7 0:00 4:51 17:00 3 0 1.5 ADJ
2017 11 14 Benilde-St.Margaret's Breck 0 7 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 18 Eagan Hastings 7 0 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 25 RochesterLourdes St.PaulBlades 7 0 0:00 5:40 17:00 3 1 1.0 ADJ
2017 12 05 Bemidji ThiefRiverFalls 0 7 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 18 Stillwater Hill-Murray 0 7 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 21 Bemidji Roseau 0 7 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 18 RedWing RochesterMayo 7 0 0:00 5:40 17:00 3 1 1.0 ADJ
2018 01 12 ForestLake Duluth 7 0 0:00 5:40 17:00 3 1 1.0 ADJ
2017 11 21 Blaine Totino-Grace 7 0 0:32 5:45 16:28 2 1 0.5 ADJ
2018 01 23 ParkofCottageGrove Woodbury 7 0 0:51 5:48 16:09 2 1 0.5 ADJ
2017 11 25 Woodbury Cretin-DerhamHall 0 7 1:00 5:50 16:00 2 1 0.5 ADJ
2018 02 10 Owatonna LakevilleSouth 0 7 1:06 5:50 15:54 2 1 0.5 ADJ
2018 01 09 Minnetonka Edina 0 7 1:18 5:53 15:42 2 1 0.5 ADJ
2018 01 27 WisValleyUnion NorthlandPines 7 0 2:11 6:02 14:49 2 1 0.5 ADJ
2018 01 06 Alexandria Bemidji 7 0 2:43 6:07 14:17 2 1 0.5 ADJ
2017 12 05 Eveleth-Gilbert GrandRapids/Greenway 0 7 2:48 6:08 14:12 2 1 0.5 ADJ
2018 01 13 Andover ElkRiver/Zimmerman 7 0 3:14 6:12 13:46 2 1 0.5 ADJ
2017 11 18 AppletonUnited NorthlandPines 7 0 3:15 6:13 13:45 2 1 0.5 ADJ
2018 01 31 Hill-Murray ElkRiver/Zimmerman 7 0 3:27 6:15 13:33 2 1 0.5 ADJ
2018 02 22 Marshall RedWing 0 7 4:42 6:28 12:18 1 1 0.0 ADJ
2017 11 14 ElkRiver/Zimmerman Osseo-ParkCenter 7 0 5:33 6:35 11:27 1 1 0.0 NA
2018 01 13 Onalaska Hudson 0 7 5:45 6:38 11:15 1 1 0.0 NA
2017 12 12 Woodbury ParkofCottageGrove 0 7 6:15 6:43 10:45 1 1 0.0 NA
2017 12 22 RiverLakes Litchfield/Dassel-Cokat 7 0 6:55 6:49 10:05 1 1 0.0 NA
2017 12 08 Roseau Buffalo 7 0 7:06 6:51 9:54 1 1 0.0 NA
2018 02 16 NorthlandPines Lakeland 0 7 7:10 6:52 9:50 1 1 0.0 NA
2017 12 09 Rosemount Burnsville 0 7 7:30 6:55 9:30 1 1 0.0 NA
2018 01 23 Willmar NorthernLakes 7 0 7:49 6:58 9:11 1 1 0.0 NA
2018 02 02 ParkRapids Bemidji 0 7 7:56 6:59 9:04 1 1 0.0 NA
2017 12 07 Owatonna AlbertLea 7 0 7:59 7:00 9:01 1 1 0.0 NA
2018 01 20 MapleGrove Osseo/ParkCenter 7 0 8:03 7:00 8:57 1 1 0.0 NA
2017 11 14 Hibbing/Chisholm Eveleth-Gilbert 7 0 8:22 7:04 8:38 1 1 0.0 NA
2017 12 28 Faribault Worthington 7 0 8:52 7:09 8:08 1 1 0.0 NA
2017 12 12 Litchfield/Dassel-Coka Delano/Rockford 0 7 10:13 7:22 6:47 1 1 0.0 NA

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 20
2017 12 09 ChamplinPark/CoonRapid Osseo/ParkCenter 7 0 11:05 7:31 5:55 0 1 0.0 NA
2018 01 04 HolyFamily/Waconia Litchfield/Dassel-Cokat 7 0 11:21 7:34 5:39 0 1 0.0 NA
2018 01 26 SouthStPaul Woodbury 7 0 11:36 7:36 5:24 0 1 0.0 NA
2017 12 02 FoxCitiesStars RockCounty 0 7 12:22 7:44 4:38 0 1 0.0 NA
2017 12 27 Chaska/Chanhassen EdenPrairie 0 7 12:57 7:50 4:03 0 1 0.0 NA
2017 11 18 Irondale GrandRapids/Greenway 0 7 13:29 7:55 3:31 0 1 0.0 NA
2017 11 14 Blaine RobbinsdaleArmstrong 7 0 15:38 8:16 1:22 0 1 0.0 NA
2017 11 28 WhiteBearLake MoundsView 8 2 0:00 4:15 17:00 4 0 2.0 ADJ
2017 12 28 Hutchinson LakevilleNorth 2 8 0:00 4:15 17:00 4 0 2.0 ADJ
2018 01 25 DetroitLakes Moorhead 2 8 0:00 4:15 17:00 4 0 2.0 ADJ
2017 11 28 HolyAngels Wayzata 2 8 0:00 4:15 17:00 4 1 1.5 ADJ
2018 01 18 RochesterJohnMarshall MankatoEast 2 8 0:00 4:51 17:00 3 1 1.0 ADJ
2018 02 06 Brookfield BadgerLightning 10 4 3:24 4:09 13:36 3 1 1.0 ADJ
2018 02 01 Faribault RochesterCentury 8 2 4:51 4:51 12:09 2 0 1.0 ADJ
2018 01 27 Brookfield Warbirds 2 8 6:06 5:01 10:54 2 0 1.0 ADJ
2018 01 16 Alexandria DetroitLakes 8 2 7:06 5:08 9:56 1 0 0.5 ADJ
2018 01 25 Medford NorthernEdge 2 8 7:30 6:55 9:30 1 2 0.0 NA
2018 01 30 AppletonUnited NorthernEdge 8 2 8:06 6:01 8:54 1 1 0.0 NA
2017 12 14 RochesterCentury MinnehahaUnited 2 8 11:31 5:41 5:29 0 0 0.0 NA
2017 12 27 RochesterCentury NorthShore 2 8 11:47 5:43 5:13 0 0 0.0 NA
2018 01 26 St.Cloud ThiefRiverFalls 8 2 12:15 5:47 4:45 0 0 0.0 NA
2018 01 23 Duluth SuperiorSpartans 8 2 12:26 5:48 4:34 0 0 0.0 NA
2017 12 14 BadgerLightning CapCityCougars 2 8 13:06 5:53 3:54 0 0 0.0 NA
2018 02 08 ChippewaFalls/Menomon NorthlandPines 8 2 13:21 5:55 3:39 0 0 0.0 NA
2017 12 21 EauClaire-Altoona WesternWis 8 2 13:36 5:57 3:24 0 0 0.0 NA
2017 12 15 NorthernLakes PrairieCentre 2 8 13:45 5:58 3:15 0 0 0.0 NA
2017 12 05 Hill-Murray HenrySibley 8 2 13:48 5:58 3:12 0 0 0.0 NA
2017 11 14 EdenPrairie Hill-Murray 2 8 14:34 6:04 2:26 0 0 0.0 NA
2017 12 28 MankatoEast AlbertLea 8 2 15:14 6:09 1:46 0 0 0.0 NA
2018 02 03 USMWildcats BayArea 9 3 15:38 5:31 1:22 0 0 0.0 NA
2018 01 29 Windom NewUlm 2 8 16:12 6:17 0:48 0 0 0.0 NA
2018 01 06 BayArea Brookfield 9 3 16:24 5:06 0:36 0 0 0.0 NA
2018 02 13 PriorLake EdenPrairie 2 8 16:29 6:19 0:31 0 0 0.0 NA
2018 01 18 ChippewaFalls/Menomoni St.CroixValley 3 9 16:42 5:38 0:18 0 0 0.0 NA
2017 12 27 Worthington Austin 4 10 16:56 5:06 0:04 0 0 0.0 NA
2018 01 20 PrairieCentre Hutchinson 1 7 0:00 5:40 17:00 3 0 1.5 ADJ
2017 12 08 Blake BloomingtonJefferson 7 1 0:00 5:40 17:00 3 1 1.0 ADJ
2018 01 13 RochesterJohnMarshall RochesterMayo 1 7 0:00 5:40 17:00 3 1 1.0 ADJ
2018 01 19 NorthernLakes FergusFalls 1 7 2:58 5:17 14:02 2 0 1.0 ADJ
2017 12 16 Marshall Waseca 7 1 3:15 5:19 13:45 2 0 1.0 ADJ
2017 12 16 WisValleyUnion Brookfield 7 1 3:29 5:21 13:31 2 0 1.0 ADJ
2018 01 27 HenrySibley Hastings 1 7 4:04 5:26 12:56 2 0 1.0 ADJ
2018 02 01 Eveleth-Gilbert InternationalFalls 1 7 4:38 5:31 12:22 2 0 1.0 ADJ
2018 01 13 Woodbury EastRidge 1 7 6:00 5:43 11:00 1 0 0.5 ADJ
2018 02 23 Alexandria Warroad 1 7 6:27 5:47 10:33 1 0 0.5 ADJ
2017 12 09 WesternWis NorthernEdge 7 1 7:19 5:54 9:41 1 0 0.5 ADJ
2017 11 28 NorthShore Hibbing/Chisholm 1 7 8:48 7:08 8:12 1 2 0.0 NA
2018 01 04 MetroLynx Warbirds 1 7 10:21 6:29 8:04 1 1 0.0 NA
2017 11 25 BayArea LakeshoreLightning 7 1 10:33 6:21 6:27 1 1 0.0 NA
2018 01 16 ChippewaFalls/Menomoni EauClaire-Altoona 1 7 10:48 6:24 6:12 0 0 0.0 NA
2017 12 09 DetroitLakes ThiefRiverFalls 1 7 11:09 6:27 5:51 0 0 0.0 NA
2017 12 21 MinnesotaRiver NewUlm 1 7 12:31 6:39 4:29 0 0 0.0 NA
2017 12 21 HaywardCo-Op SuperiorSpartans 7 1 12:43 6:40 4:17 0 0 0.0 NA
2018 01 26 Eastview DodgeCounty 7 1 12:56 6:42 4:04 0 0 0.0 NA
2017 12 27 DodgeCounty FortFrances 7 1 13:35 6:48 3:25 0 0 0.0 NA
2018 02 01 NorthShore Proctor/Hermantown 1 7 14:32 6:56 2:28 0 0 0.0 NA
2018 02 01 Viroqua BadgerLightning 7 1 14:37 6:57 2:23 0 0 0.0 NA
2018 01 19 USMWildcats Brookfield 7 1 14:56 7:00 2:04 0 0 0.0 NA
2017 12 07 Sartell/SaukRapids Willmar 7 1 15:22 7:00 1:38 0 0 0.0 NA
2017 12 21 Warroad FortFrances 7 1 15:23 7:00 1:37 0 0 0.0 NA
2018 02 16 LakeshoreLightning BayArea 1 7 15:23 7:00 1:37 0 0 0.0 NA
2018 01 16 Waseca Fairmont 7 1 15:39 7:06 1:21 0 0 0.0 NA
2018 01 04 PrairieCentre MorrisArea/BensonArea 7 1 15:41 7:06 1:19 0 0 0.0 NA
2017 11 28 Owatonna Farmington 1 7 15:47 7:12 1:13 0 0 0.0 NA
2017 11 17 Cretin-DerhamHall Edina 1 7 15:42 7:06 1:18 0 0 0.0 NA
2017 12 12 RochesterJohnMarshall MankatoWest 1 7 15:46 7:07 1:14 0 0 0.0 NA
2017 11 25 Marquette(Kivela)19U NorthernEdge 7 1 15:58 7:08 1:02 0 0 0.0 NA
2017 11 24 RochesterLourdes WesternWis 7 1 16:25 7:12 0:35 0 0 0.0 NA
2018 01 16 Willmar Sartell/SaukRapids 1 7 16:29 7:13 0:31 0 0 0.0 NA
2017 11 14 Cloquet-Esko-Carlton Brainerd/LittleFalls 1 7 16:44 7:15 0:16 0 0 0.0 NA
2018 01 02 Owatonna Austin 7 1 16:49 7:16 0:11 0 0 0.0 NA
2017 12 05 Irondale SpringLakePark 1 7 16:56 7:17 0:04 0 0 0.0 NA
2017 12 02 MooseLakeArea SouthStPaul 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2017 11 18 Moorhead Rogers 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2017 12 14 Orono HolyFamily/Waconia 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2018 01 11 Eagan Rosemount 6 0 0:00 5:40 17:00 3 0 1.5 ADJ
2018 01 11 Stillwater Edina 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2018 01 26 Lakeland Warbirds 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2018 02 03 Owatonna Wayzata 0 6 0:00 5:40 17:00 3 0 1.5 ADJ

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 21
2018 02 10 NorthSt.Paul/Tartan WhiteBearLake 0 6 0:00 5:40 17:00 3 0 1.5 ADJ
2018 02 10 WesternWis HaywardCo-Op 0 6 1:14 5:52 15:46 2 0 1.0 ADJ
2018 01 25 Roseville Stillwater 0 6 2:17 6:03 14:43 2 0 1.0 ADJ
2017 11 09 RobbinsdaleArmstrong Rogers 0 6 3:01 6:10 13:59 2 0 1.0 ADJ
2018 01 22 Eveleth-Gilbert Cloquet-Esko-Carlton 0 6 3:52 6:19 13:08 2 0 1.0 ADJ
2018 02 13 Moorhead Brainerd/LittleFalls 0 6 4:07 6:21 12:53 2 0 1.0 ADJ
2018 02 01 RochesterJohnMarshall Owatonna 0 6 4:50 6:28 12:10 1 0 0.5 ADJ
2018 01 30 Luverne Worthington 6 0 5:23 6:34 11:37 1 0 0.5 ADJ
2017 12 23 RockCounty Viroqua 6 0 6:33 6:45 10:27 1 0 0.5 ADJ
2017 12 21 MapleGrove Irondale 6 0 6:44 6:47 10:13 1 0 0.5 ADJ
2017 11 14 InternationalFalls Roseau 0 6 6:53 6:50 10:10 1 0 0.5 ADJ
2018 01 19 LakeshoreLightning CentralWisconsin 0 6 7:12 6:52 9:48 1 0 0.5 ADJ
2018 01 19 Rogers ChisagoLakes 6 0 7:16 6:53 9:44 1 0 0.5 ADJ
2018 01 11 Minneapolis Chaska/Chanhassen 0 6 7:23 6:54 9:37 1 0 0.5 ADJ
2018 01 06 NorthernEdge WesternWis 0 6 7:56 6:59 9:04 1 0 0.5 ADJ
2017 11 14 Mahtomedi Cretin-DerhamHall 0 6 8:41 7:07 8:19 1 0 0.5 ADJ
2018 02 10 WisValleyUnion Hudson 0 6 8:50 7:08 8:10 1 0 0.5 ADJ
2017 12 19 Worthington Fairmont 6 0 9:17 7:13 7:43 1 0 0.5 ADJ
2017 12 05 ChisagoLakes Rogers 0 6 9:29 7:15 7:31 1 0 0.5 ADJ
2018 02 23 Proctor/Hermantown Breck 0 6 9:30 7:15 7:30 1 0 0.5 ADJ
2018 01 04 Brainerd/LittleFalls RiverLakes 6 0 9:43 7:18 7:17 0 0 0.0 NA
2017 11 14 GrandRapids-Greenway Bemidji 6 0 10:02 7:20 6:58 0 0 0.0 NA
2017 11 27 NewUlm MinnesotaRiver 6 0 10:16 7:22 6:44 0 0 0.0 NA
2017 12 22 MetroLynx Icebergs 6 0 10:38 7:26 6:22 0 0 0.0 NA
2018 01 30 SpringLakePark MapleGrove 0 6 10:51 7:28 6:09 0 0 0.0 NA
2018 01 09 Marshall Worthington 6 0 11:15 7:32 5:45 0 0 0.0 NA
2017 11 28 MankatoWest RochesterCentury 6 0 11:29 7:35 5:31 0 0 0.0 NA
2018 01 09 Roseville MoundsView 0 6 11:53 7:39 5:07 0 0 0.0 NA
2018 02 10 LakevilleNorth Farmington 0 6 11:59 7:40 5:01 0 0 0.0 NA
2017 12 02 Onalaska CentralWisconsin 0 6 12:10 7:40 4:50 0 0 0.0 NA
2018 02 03 Warroad WestFargoUnited 6 0 12:39 7:46 4:21 0 0 0.0 NA
2017 11 16 St.Cloud Wayzata 0 6 12:45 7:48 4:15 0 0 0.0 NA
2018 01 16 Anoka Andover 0 6 12:53 7:49 4:07 0 0 0.0 NA
2018 02 13 Roseville Hill-Murray 0 6 12:59 7:50 4:01 0 0 0.0 NA
2018 01 04 ElkRiver/Zimmerman ForestLake 0 6 13:09 7:51 3:51 0 0 0.0 NA
2018 02 15 Viroqua CapCityCougars 0 6 13:13 7:52 3:47 0 0 0.0 NA
2018 01 19 DetroitLakes FargoNorth/South 0 6 13:15 7:52 3:45 0 0 0.0 NA
2018 01 02 MankatoEast NewUlm 0 6 13:18 7:53 3:42 0 0 0.0 NA
2018 01 13 St.Cloud EastGrandForks 6 0 13:25 7:54 3:35 0 0 0.0 NA
2018 01 26 Cloquet-Esko-Carlton Andover 0 6 13:26 7:54 3:34 0 0 0.0 NA
2017 12 27 Roseville SouthStPaul 0 6 13:34 7:56 3:26 0 0 0.0 NA
2017 11 25 Marquette(Kivela)19U NorthernEdge 6 0 14:17 8:03 2:43 0 0 0.0 NA
2017 12 19 SouthStPaul Mahtomedi 6 0 14:29 8:05 2:31 0 0 0.0 NA
2018 02 10 BadgerLightning Viroqua 0 6 14:31 8:05 2:29 0 0 0.0 NA
2018 01 22 Brookfield Warbirds 0 6 14:54 8:09 2:06 0 0 0.0 NA
2018 01 12 Austin Faribault 0 6 14:56 8:09 2:04 0 0 0.0 NA
2017 12 09 WhiteBearLake Woodbury 6 0 14:58 8:10 2:02 0 0 0.0 NA
2018 02 10 Faribault RochesterLourdes 0 6 15:06 8:11 1:54 0 0 0.0 NA
2017 12 19 Proctor/Hermantown SuperiorSpartans 6 0 15:17 8:13 1:41 0 0 0.0 NA
2017 12 05 BloomingtonJefferson St.PaulBlades 6 0 15:39 8:16 1:21 0 0 0.0 NA
2017 12 08 Onalaska Warbirds 0 6 15:50 8:20 1:10 0 0 0.0 NA
2018 01 30 MoundsView Woodbury 6 0 15:51 8:20 1:09 0 0 0.0 NA
2017 12 05 Brainerd/LittleFalls Moorhead 6 0 15:56 8:20 1:04 0 0 0.0 NA
2017 12 29 Osseo/ParkCenter St.PaulBlades 6 0 16:09 8:21 0:51 0 0 0.0 NA
2017 11 25 Blaine GrandRapids/Greenway 6 0 16:14 8:22 0:46 0 0 0.0 NA
2018 01 30 Litchfield/Dassel-Cok HolyFamily/Waconia 0 6 16:28 8:24 0:31 0 0 0.0 NA
2018 01 25 RockCounty MetroLynx 6 0 16:31 8:24 0:29 0 0 0.0 NA
2017 12 09 Totino-Grace Irondale 6 0 16:37 8:26 0:23 0 0 0.0 NA
2017 11 28 Fairmont Luverne 0 6 16:39 8:26 0:21 0 0 0.0 NA
2018 01 25 Hudson ChippewaFalls/Menomonie 6 0 16:46 8:28 0:14 0 0 0.0 NA
2017 11 30 ThiefRiverFalls ParkRapids 6 0 16:59 8:30 0:01 0 0 0.0 NA

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 22
Table A-2: LSQRANK Final Rating Profile 2017-18 for Girls High School Hockey in the
Northern Plains Region of North America (Minnesota, Wisconsin, Illinois, North Dakota, South Dakota, Manitoba and
Northwestern Ontario)
extracted from: LSQRANK (Final) North America Women/Girls Hockey 2017-2018
LSQRANK State Score Team LG SEC CLS GP (WW-LL-TT)
=======================================================================================
Group 1
=======================================================================================
46 MN HS 1000.0000 Edina MnHSHL 6 AA 31 (28- 3- 0)
59 MN HS 999.2472 Blake MnHSHL 6 AA 28 (24- 4- 0)
63 MN HS 999.0956 ShattuckStMaryPrep INDPREP 0 PREP 65 (48-11- 6)
65 MN HS 999.0162 Centennial MnHSHL 5 AA 30 (25- 5- 0)
72 MN HS 998.5814 Hill-Murray MnHSHL 4 AA 30 (24- 6- 0)
97 MN HS 997.8038 Andover(MN) MnHSHL 7 AA 31 (24- 7- 0)
108 MN HS 997.3400 Breck MnHSHL 5 A 30 (19-10- 1)
109 MN HS 997.3232 MapleGrove MnHSHL 5 AA 27 (20- 7- 0)
112 MN HS 997.2863 EdenPrairie MnHSHL 2 AA 31 (19-11- 1)
116 MN HS 997.2148 Warroad MnHSHL 8 A 30 (24- 5- 1)
124 MN HS 997.0755 Farmington MnHSHL 1 AA 29 (20- 8- 1)
126 MN HS 997.0520 Blaine MnHSHL 5 AA 28 (20- 7- 1)
128 MN HS 997.0021 Wayzata MnHSHL 6 AA 28 (20- 8- 0)
129 MN HS 996.9285 LakevilleSouth MnHSHL 1 AA 31 (20-11- 0)
132 MN HS 996.8539 Eagan MnHSHL 3 AA 32 (25- 6- 1)
142 MN HS 996.6842 Minnetonka MnHSHL 2 AA 27 (16-11- 0)
143 MN HS 996.6656 ForestLake MnHSHL 7 AA 28 (21- 6- 1)
168 MN HS 995.9998 Roseau MnHSHL 8 AA 28 (22- 6- 0)
173 MN HS 995.8872 Brainerd/LittleFalls MnHSHL 8 AA 30 (23- 7- 0)
177 MN HS 995.7944 Shakopee MnHSHL 2 AA 28 (14-11- 3)
181 MN HS 995.7336 LakevilleNorth MnHSHL 1 AA 26 (14-12- 0)
186 MB HS 995.5756 StMary'sAcademy CSSHL 0 PREP 49 (26-19- 4)
199 MN HS 995.4081 ElkRiver/Zimmerman MnHSHL 7 AA 27 (12-14- 1)
204 MN HS 995.3802 WhiteBearLake MnHSHL 4 AA 29 (19-10- 0)
210 MN HS 995.2692 Anoka MnHSHL 5 AA 26 (10-16- 0)
217 MN HS 995.1508 St.PaulUnited MnHSHL 4 A 31 (21-10- 0)
223 MN HS 995.0762 Cretin-DerhamHall MnHSHL 6 AA 27 (14-13- 0)
225 MN HS 995.0634 AppleValley MnHSHL 3 AA 28 (13-14- 1)
235 MN HS 994.9761 Eastview MnHSHL 3 AA 28 ( 9-17- 2)
242 MN HS 994.9121 MoundsView MnHSHL 4 AA 27 (17- 9- 1)
254 MN HS 994.7135 GrandRapids/Greenway MnHSHL 7 AA 27 (17- 9- 1)
266 MN HS 994.5974 HolyFamily/Waconia MnHSHL 2 AA 26 (16- 9- 1)
267 MN HS 994.5872 Rogers MnHSHL 5 AA 27 (16- 9- 2)
268 MN HS 994.5772 SouthStPaul MnHSHL 4 A 28 (20- 6- 2)
269 WI HS 994.5724 Hudson WIAA 0 A 26 (23- 3- 0)
271 MN HS 994.5427 Burnsville MnHSHL 3 AA 26 (10-12- 4)
274 MN HS 994.5136 RedWing MnHSHL 1 A 30 (24- 6- 0)
275 MN HS 994.5018 Hopkins/St.LouisPark MnHSHL 6 AA 26 (12-14- 0)
277 MN HS 994.4877 Alexandria MnHSHL 6 A 30 (22- 8- 0)
292 MN HS 994.3227 NorthWrightCounty MnHSHL 8 AA 26 (18- 7- 1)
294 MN HS 994.2855 St.Cloud MnHSHL 8 AA 27 (19- 8- 0)
296 WI HS 994.2805 EauClaire-Altoona WIAA 0 A 27 (24- 3- 0)
301 MN HS 994.2053 PriorLake MnHSHL 2 AA 27 (13-14- 0)
314 MN HS 994.0364 Chaska/Chanhassen MnHSHL 2 AA 26 (13-13- 0)
327 MN HS 993.8876 ThiefRiverFalls MnHSHL 8 A 26 (17- 7- 2)
329 MN HS 993.8718 EastRidge MnHSHL 3 AA 27 (13-14- 0)
333 MN HS 993.8264 ChamplinPark/CoonRapids MnHSHL 5 AA 26 (14-11- 1)
334 ND HS 993.8229 FargoNorth/South NDHSHL 0 A 26 (21- 5- 0)
336 MN HS 993.8157 Proctor/Hermantown MnHSHL 7 A 31 (17-14- 0)
342 MN HS 993.7922 ParkofCottageGrove MnHSHL 3 AA 26 (13-12- 1)
348 MB HS 993.7865 BalmoralHallSchool JWHL 0 PREP 51 (20-27- 4)
353 MN HS 993.7105 Benilde-St.Margaret's MnHSHL 6 AA 26 ( 9-17- 0)
361 IN HS 993.6648 CulverAcademyPrep INDPREP 0 PREP 42 (11-24- 7)
380 MN HS 993.4534 NewPrague MnHSHL 2 AA 26 (13-13- 0)
386 MN HS 993.4254 DodgeCounty MnHSHL 1 AA 26 (15-11- 0)
387 MN HS 993.4214 Cambridge-Isanti/Mora/PC MnHSHL 7 AA 26 (18- 8- 0)
388 MN HS 993.4200 RochesterLourdes MnHSHL 1 A 27 (14-13- 0)
395 MB T1 993.4181 PembinaValleyHawks17U_AAA CANT1 0 AAA 64 (39-25- 0)
393 MN HS 993.3635 Stillwater MnHSHL 4 AA 26 ( 9-15- 2)
399 MN HS 993.3069 Mahtomedi MnHSHL 4 A 28 (18- 9- 1)
---------------------------------------------------------------------------------------

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 23
LSQRANK State Score Team LG SEC CLS GP (WW-LL-TT)
=======================================================================================
Group 2
=======================================================================================
401 ND HS 993.2940 Bismarck NDHSHL 0 A 25 (21- 4- 0)
408 MB T1 993.2877 WinnipegAvros17U_AAA CANT1 0 AAA 63 (31-26- 6)
406 MN HS 993.2655 EastGrandForks MnHSHL 8 A 29 (19- 9- 1)
413 MN HS 993.2322 Delano/Rockford MnHSHL 2 A 27 (17-10- 0)
421 OH HS 993.1575 GilmourAcademyPrep INDPREP 0 PREP 64 (25-24-15)
434 MN HS 993.0536 DuluthMarshall MnHSHL 7 A 27 (18- 9- 0)
442 MB T1 993.0472 WestmanWildcats17U_AAA CANT1 0 AAA 61 (28-27- 6)
438 MN HS 993.0249 NewUlm MnHSHL 2 A 30 (24- 6- 0)
444 MN HS 993.0051 Orono MnHSHL 5 A 27 ( 9-16- 2)
452 MN HS 992.9310 Sartell/SaukRapids MnHSHL 8 AA 26 (11-13- 2)
464 MB T1 992.8729 EastmanSelects17U_AAA CANT1 0 AAA 73 (31-32-10)
468 MN HS 992.7939 Hutchinson MnHSHL 2 A 26 (14-11- 1)
471 MN HS 992.7636 Northfield(MN) MnHSHL 1 AA 26 (15-10- 1)
483 MN HS 992.6036 Princeton(MN) MnHSHL 7 AA 26 (14-12- 0)
487 MN HS 992.5693 SpringLakePark MnHSHL 5 AA 26 (11-15- 0)
488 WI HS 992.5673 St.CroixValley WIAA 0 A 26 (18- 8- 0)
493 MN HS 992.4930 Roseville MnHSHL 4 AA 27 ( 5-22- 0)
496 MN HS 992.4778 FergusFalls MnHSHL 6 A 27 (15-12- 0)
500 MN HS 992.4361 BloomingtonJefferson MnHSHL 2 AA 25 (11-13- 1)
504 MN HS 992.4008 Duluth MnHSHL 7 AA 26 ( 9-17- 0)
508 MN HS 992.3856 Buffalo MnHSHL 8 AA 26 ( 8-18- 0)
514 MN HS 992.3642 Hibbing/Chisholm MnHSHL 7 A 28 (11-15- 2)
530 WI HS 992.2477 CentralWisconsin WIAA 0 A 27 (19- 8- 0)
533 MN HS 992.2431 Cloquet-Esko-Carlton MnHSHL 7 A 26 (10-16- 0)
534 MN HS 992.2199 St.Francis/NorthBranch MnHSHL 7 AA 25 (13-12- 0)
561 MN HS 991.9119 RiverLakes MnHSHL 6 A 28 (11-17- 0)
567 MN HS 991.8080 MoundWestonka MnHSHL 2 A 27 (10-16- 1)
575 WI HS 991.7469 RockCounty WIAA 0 A 27 (21- 4- 2)
577 MN HS 991.7457 Moorhead MnHSHL 8 AA 27 (10-16- 1)
582 MN HS 991.7086 RochesterMayo MnHSHL 1 AA 26 (20- 6- 0)
587 MN HS 991.6624 Owatonna MnHSHL 1 AA 25 (16- 9- 0)
593 MN HS 991.5944 InternationalFalls MnHSHL 7 A 25 (13-11- 1)
598 WI HS 991.5463 Warbirds WIAA 0 A 27 (19- 7- 1)
602 MN HS 991.4946 Willmar MnHSHL 6 A 27 (11-16- 0)
621 MN HS 991.3245 Hastings MnHSHL 3 AA 26 ( 7-18- 1)
651 ND HS 991.1080 WestFargoUnited NDHSHL 0 A 26 (18- 7- 1)
658 ON HS 991.0740 FortFrances(ON) OFSSA 0 A 46 (34-10- 2)
659 WI HS 991.0519 USMWildcats WIAA 0 A 26 (17- 9- 0)
669 MN HS 990.9578 Simley MnHSHL 4 A 26 ( 8-16- 2)
678 MN HS 990.8638 Minneapolis MnHSHL 5 A 26 (10-16- 0)
681 ND HS 990.8391 FargoDavies NDHSHL 0 A 26 (16-10- 0)
683 MN HS 990.8175 MooseLakeArea MnHSHL 7 A 26 ( 9-17- 0)
686 WI HS 990.8002 WisValleyUnion WIAA 0 A 26 (17- 8- 1)
688 MN HS 990.7828 NorthSt.Paul/Tartan MnHSHL 4 AA 25 ( 3-20- 2)
697 MN HS 990.7302 Faribault MnHSHL 1 A 27 (16-11- 0)
700 MN HS 990.7105 Totino-Grace MnHSHL 5 A 26 ( 8-17- 1)
705 WI HS 990.6919 HaywardCo-Op WIAA 0 A 26 (12-14- 0)
712 MN HS 990.6652 HolyAngels MnHSHL 5 A 27 ( 8-17- 2)
714 WI HS 990.6517 CapCityCougars WIAA 0 A 27 (21- 6- 0)
721 WI HS 990.5768 BlackRiverFalls WIAA 0 A 25 (16- 9- 0)
727 MB HS 990.5275 St.Mary'sFlames WWHSHL 0 AA 29 (27- 2- 0)
768 MN HS 990.2238 ChisagoLakes MnHSHL 5 A 27 ( 8-19- 0)
771 MN HS 990.1935 Osseo/ParkCenter MnHSHL 6 AA 26 ( 7-19- 0)
786 WI HS 990.0935 FoxCitiesStars WIAA 0 A 26 (13-10- 3)
803 WI HS 990.0259 BayArea WIAA 0 A 25 (11-11- 3)
825 MN HS 989.8990 Rosemount MnHSHL 3 AA 26 ( 6-19- 1)
851 MN HS 989.7685 Irondale MnHSHL 4 AA 26 ( 5-21- 0)
858 MN HS 989.7375 MinnehahaUnited MnHSHL 6 AA 27 (17-10- 0)
887 MN HS 989.5827 HenrySibley MnHSHL 4 A 26 ( 8-18- 0)
940 WI HS 989.3451 WesternWis WIAA 0 A 23 (10-12- 1)
---------------------------------------------------------------------------------------

Has running time protocol outlived its usefulness?
updated 5/5/2023 Page 24
LSQRANK State Score Team LG SEC CLS GP (WW-LL-TT)
=======================================================================================
Group 3
=======================================================================================
962 IL HS 989.2310 NewTrier(V) ILAHA 0 A 25 (19- 5- 1)
963 MB HS 989.2079 DakotaLancers WWHSHL 0 AA 30 (20-10- 0)
986 MN HS 989.0439 Marshall MnHSHL 3 A 29 (17-12- 0)
988 MN HS 989.0398 RobbinsdaleArmstrong/Cooper MnHSHL 6 AA 27 ( 5-22- 0)
990 IL HS 989.0326 GlenbrookSouth ILAHA 0 A 24 (15- 6- 3)
998 MB HS 988.9786 SelkirkRoyals WWHSHL 0 AA 31 (20-10- 1)
1006 MN HS 988.9221 Woodbury MnHSHL 4 AA 26 ( 4-22- 0)
1009 MB HS 988.9037 CJSOlympiens WWHSHL 0 AA 40 (26-13- 1)
1022 ND HS 988.8351 Minot NDHSHL 0 A 26 (14-12- 0)
1026 MN HS 988.8121 NorthShore MnHSHL 7 A 26 ( 7-19- 0)
1044 ON HS 988.7142 St.ThomasAquinas(Kenora) OFSSA 0 A 27 (18- 7- 2)
1050 MB HS 988.6557 VMCTrojans WWHSHL 0 AA 32 (18-14- 0)
1066 MN HS 988.5900 PrairieCentre MnHSHL 6 A 26 (12-14- 0)
1069 MN HS 988.5795 Bemidji MnHSHL 8 AA 27 ( 5-22- 0)
1072 IL HS 988.5653 Fenwick ILAHA 0 A 22 (15- 3- 4)
1078 WI HS 988.5373 ChippewaFalls/Menomonie WIAA 0 A 25 ( 6-18- 1)
1079 IL HS 988.5166 LoyolaAcademy ILAHA 0 A 27 (15- 9- 3)
1088 SD HS 988.4991 Aberdeen SDHSHL 0 A 31 (26- 4- 1)
1090 WI HS 988.4941 Onalaska WIAA 0 A 25 (12-13- 0)
1098 ND HS 988.4650 Richland19U NDAHA 0 B 20 (17- 3- 0)
1139 MN HS 988.2513 NorthernLakes MnHSHL 6 A 25 ( 9-16- 0)
1145 MN HS 988.2271 Eveleth-Gilbert MnHSHL 7 A 24 ( 9-14- 1)
1152 ON HS 988.2246 Dryden(ON) OFSSA 0 A 28 (11-13- 4)
1148 MN HS 988.2090 MankatoWest MnHSHL 3 A 28 (15-12- 1)
1150 WI HS 988.1902 MetroLynx WIAA 0 A 26 ( 9-17- 0)
1152 MN HS 988.1749 MankatoEast MnHSHL 3 A 27 (13-14- 0)
1168 MN HS 988.1028 Litchfield/Dassel-Cokato MnHSHL 2 A 26 ( 3-23- 0)
1206 MB HS 987.9044 CSHCHuskies WWHSHL 0 A 32 (16-14- 2)
1212 WI HS 987.8655 SuperiorSpartans WIAA 0 A 26 ( 6-19- 1)
1227 MB HS 987.7642 PCISaints WWHSHL 0 A 29 (11-17- 1)
1239 MN HS 987.6618 DetroitLakes MnHSHL 8 A 26 ( 8-18- 0)
1241 WI HS 987.6533 AppletonUnited WIAA 0 A 23 ( 5-17- 1)
1248 WI HS 987.6181 Viroqua WIAA 0 A 23 (10-13- 0)
1263 WI HS 987.5567 Lakeland WIAA 0 A 23 (11-12- 0)
1304 WI HS 987.3645 Arrowhead WIAA 0 A 25 ( 9-15- 1)
1310 MN HS 987.3323 Luverne MnHSHL 3 A 27 (16- 9- 2)
1311 WI HS 987.3286 Brookfield WIAA 0 A 26 (12-14- 0)
1312 ND HS 987.3220 GrandForks NDHSHL 0 A 25 ( 9-15- 1)
1325 MB HS 987.2581 OakParkRaiders WWHSHL 0 AA 27 (14-13- 0)
1364 ND HS 986.9333 Dickinson NDHSHL 0 A 22 (10-11- 1)
1379 MN HS 986.7931 MinnesotaRiver MnHSHL 2 A 26 (11-14- 1)
1381 MN HS 986.7901 Austin MnHSHL 1 A 26 (10-16- 0)
1412 MN HS 986.5724 RochesterJohnMarshall MnHSHL 1 AA 26 ( 7-19- 0)
1416 WI HS 986.5417 LakeshoreLightning WIAA 0 A 25 ( 7-18- 0)
1424 ND HS 986.5046 Minot14U NDAHA 0 B 4 ( 3- 1- 0)
1440 MB HS 986.3932 RiverEastKodiaks WWHSHL 0 A 24 ( 7-17- 0)
1455 IL HS 986.2459 NaperValley ILAHA 0 A 21 (10- 7- 4)
1481 MN HS 986.0964 St.PaulBlades MnHSHL 4 A 26 ( 2-24- 0)
1488 WI HS 986.0355 Icebergs WIAA 0 A 23 ( 6-17- 0)
1497 ND HS 985.9836 Fargo19U NDAHA 0 B 17 ( 9- 7- 1)
1504 MB HS 985.9619 KelvinClippers WWHSHL 0 A 24 ( 5-19- 0)
1505 MB HS 985.9434 MilesMacBuckeyes WWHSHL 0 A 25 ( 5-19- 1)
1507 ND HS 985.9364 Bottineau19U NDAHA 0 B 19 (13- 6- 0)
1527 ND HS 985.8250 Mandan NDHSHL 0 A 26 ( 8-17- 1)
1530 ND HS 985.8107 Bismarck19U NDAHA 0 B 19 (16- 2- 1)
1532 IL HS 985.7739 Barrington ILAHA 0 A 23 (15- 7- 1)
1545 MN HS 985.6774 Windom MnHSHL 3 A 24 (10-13- 1)
1563 SD HS 985.5482 Brookings SDHSHL 0 A 27 (16-11- 0)
1581 IL HS 985.4273 LatinSchoolofChicago ILAHA 0 A 24 (16- 7- 1)
1584 SD HS 985.4124 SiouxFalls SDHSHL 0 A 26 (18- 5- 3)
---------------------------------------------------------------------------------------

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LSQRANK State Score Team LG SEC CLS GP (WW-LL-TT)
=======================================================================================
Group 4
=======================================================================================
1592 MB HS 985.3497 FRCCenturions WWHSHL 0 A 23 ( 3-19- 1)
1598 MN HS 985.3381 Waseca MnHSHL 1 A 26 ( 7-19- 0)
1608 ND HS 985.2895 DevilsLake NDHSHL 0 A 22 ( 4-18- 0)
1653 ND HS 984.9602 Williston NDHSHL 0 A 22 ( 6-15- 1)
1657 WI HS 984.9371 NorthernEdge WIAA 0 A 25 ( 8-17- 0)
1670 MN HS 984.7772 AlbertLea MnHSHL 1 A 25 ( 6-19- 0)
1678 WI HS 984.7064 NorthlandPines WIAA 0 A 22 ( 7-15- 0)
1685 IL HS 984.6404 LakeForest ILAHA 0 A 23 ( 8-15- 0)
1690 MB HS 984.5742 BeliveauBarracudas WWHSHL 0 A 27 (19- 8- 0)
1712 MB HS 984.2805 SJREagles WWHSHL 0 A 30 (18-12- 0)
1723 MB HS 984.1536 CSLRRenards WWHSHL 0 AA 30 (16-14- 0)
1735 MN HS 983.9830 RochesterCentury MnHSHL 1 AA 26 ( 4-22- 0)
1754 MB HS 983.8052 GardenCityGophers WWHSHL 0 A 25 (15-10- 0)
1778 ND HS 983.5869 WatfordCity19U NDAHA 0 B 23 ( 9-13- 1)
1783 MN HS 983.5382 Crookston MnHSHL 8 A 26 ( 5-21- 0)
1784 ND HS 983.5316 WestFargo19U NDAHA 0 B 14 ( 5- 9- 0)
1789 IL HS 983.4990 Evanston ILAHA 0 A 25 ( 8-16- 1)
1790 MN HS 983.4871 ParkRapids MnHSHL 8 A 26 ( 4-22- 0)
1798 IL HS 983.4285 Warren ILAHA 0 A 26 (10-13- 3)
1802 MB HS 983.3979 SanfordSabres WWHSHL 0 B 29 (15-14- 0)
1806 MB HS 983.3268 SpringfieldSabres WWHSHL 0 A 25 (13-12- 0)
1817 ND HS 983.2067 Jamestown NDHSHL 0 A 24 ( 2-20- 2)
1841 SD HS 982.9011 Mitchell SDHSHL 0 A 25 (11-11- 3)
1857 SD HS 982.7056 Watertown(SD) SDHSHL 0 A 24 (12-11- 1)
1860 MN HS 982.6392 Worthington MnHSHL 3 A 23 ( 7-16- 0)
1872 ND HS 982.5115 Crosby19U NDAHA 0 B 19 ( 7-10- 2)
1884 IL HS 982.4227 NewTrier(JV) ILAHA 0 A 23 ( 5-14- 4)
1898 MB HS 982.1212 JHBrunsBroncos WWHSHL 0 A 25 ( 6-19- 0)
1929 MB HS 981.6247 GlenlawnLions WWHSHL 0 B 27 (13-14- 0)
1933 MB HS 981.5268 WestwoodWarriors WWHSHL 0 AA 29 ( 3-25- 1)
1934 MB HS 981.5268 LoretteScorpions WWHSHL 0 A 26 (13-12- 1)
1936 WI HS 981.4972 BadgerLightning WIAA 0 A 19 ( 0-19- 0)
1939 ND HS 981.4537 Wahpeton19U NDAHA 0 B 18 ( 7-10- 1)
1943 MB HS 981.4290 CPETCanadiennes WWHSHL 0 AA 25 (14-10- 1)
1947 IL HS 981.3813 MaineTownship ILAHA 0 A 31 ( 6-22- 3)
1949 MB HS 981.3358 KEReivers WWHSHL 0 B 29 (15-13- 1)
1955 ND HS 981.1873 Glasgow19U NDAHA 0 B 19 ( 6-13- 0)
1963 ON HS 981.0550 QueenElizabeth(SiouxLookout) OFSSA 0 A 17 ( 2-14- 1)
1970 SD HS 980.7184 Rushmore SDHSHL 0 A 24 ( 8-16- 0)
1978 ND HS 980.5233 Hazen/Beulah19U NDAHA 0 B 18 ( 1-17- 0)
1982 MB HS 980.4590 WKCWolverines WWHSHL 0 B 24 ( 9-15- 0)
1992 MN HS 980.1743 MorrisArea/BensonArea MnHSHL 6 A 18 ( 1-17- 0)
2001 MN HS 979.8902 Fairmont MnHSHL 3 A 26 ( 2-24- 0)
2025 SD HS 979.1319 Oahe SDHSHL 0 A 24 ( 5-18- 1)
2032 ND HS 978.9788 Langdon19U NDAHA 0 B 19 ( 4-15- 0)
2033 WI HS 978.9653 Medford(WI) WIAA 0 A 18 ( 0-18- 0)
2040 IL HS 978.5045 LakeForestAcademy ILAHA 0 A 23 ( 1-21- 1)
2042 NE HS 978.4203 Omaha SDHSHL 0 A 24 ( 0-22- 2)

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updated 5/5/2023 Page 26
Table A-3: Tiered into four Symmetric Groups [58-58-58-57]
Elim
Group Travel by
yyyy mm dd Team_1 Team_2 S1 S2 T1 T2 Time Tiering
=================================================================================================
2017 12 27 Minot Warroad 0 20 3 1 5hr 15m 1
2017 11 30 Crookston Warroad 0 18 4 1 2hr 30m 1
2018 02 12 ParkRapids Warroad 0 15 - - 0 POG
2018 02 10 RobbinsdaleArmstrong Edina 0 14 - - 0 POG
2017 02 07 RochesterCentury Farmington 1 14 - - 0 POG
2017 11 30 Worthington NewUlm 1 14 4 2 1
2017 11 24 Duluth Edina 1 14 2 1 0
2017 11 14 ParkRapids Warroad 0 13 4 1 3hr 1
2018 01 18 Owatonna RochesterCentury 13 0 2 4 1
2018 02 10 Irondale Hill-Murray 0 13 - - 0 POG
2018 01 18 Waseca RochesterLourdes 0 13 4 1 1
2017 12 16 BadgerLightning WesternWis 1 13 4 2 1
2018 01 16 AlbertLea Northfield 0 12 4 2 1
2018 01 27 Medford Warbirds 0 12 4 2 1
2017 12 09 SuperiorSpartans Hudson 0 12 3 1 1
2017 02 07 Waseca Faribault 0 12 - - 0 POG
2017 12 12 NewUlm Fairmont 14 2 2 4 1
2017 11 30 Medford HaywardCo-Op 1 13 4 2 1
2017 11 11 Irondale Andover 0 12 2 1 0
2017 11 16 Rosemount AppleValley 1 12 2 1 0
2017 12 15 Hastings Hill-Murray 1 12 2 1 0
2018 01 23 Fairmont NewUlm 0 11 4 2 1
2017 12 12 MorrisArea/BensonArea PrairieCentre 1 12 4 3 0
2017 12 28 Medford Viroqua 1 12 4 3 0
2018 01 23 Osseo/ParkCenter Andover 1 12 2 1 0
2018 02 16 BadgerLightning RockCounty 1 12 - - 0 POG
2017 12 30 Fairmont Eveleth-Gilbert 1 12 4 3 0
2017 11 18 RobbinsdaleArmstrong Centennial 0 11 3 1 1
2018 01 04 Bemidji ParkRapids 11 0 3 4 0
2017 12 19 NorthernLakes Cambridge-Isanti/Mora 0 11 3 1 1
2017 12 21 NorthernLakes MorrisArea/BensonArea 13 2 3 4 0
2017 11 17 NorthlandPines Warbirds 1 12 4 2 1
2018 01 13 Crookston InternationalFalls 1 12 4 2 1
2017 12 01 BadgerLightning Warbirds 1 12 4 2 1
2017 12 02 Fairmont MinnehahaUnited 0 11 4 2 1
2018 01 20 EauClaire-Altoona SuperiorSpartans 11 0 1 3 1
2018 02 10 MinnehahaUnited Blake 0 10 - - 0 POG
2018 01 18 RedWing Austin 12 2 1 3 1
2017 11 21 Centennial Osseo/ParkCenter 13 3 1 2 0
2017 11 14 RochesterJohnMarshall HolyFamily/Waconia 1 11 3 1 1
2018 01 18 ParkRapids NorthernLakes 0 10 4 3 0
2017 11 24 MorrisArea/BensonArea MinnehahaUnited 0 10 4 2 1
2017 12 19 EastGrandForks Crookston 10 0 2 4 1
2017 12 28 WhiteBearLake Mandan 10 0 1 3 1
2017 12 30 DodgeCounty Crookston 10 0 1 4 1
2018 01 30 MorrisArea/BensonArea NorthernLakes 0 10 4 3 0
2018 02 10 Austin RedWing 0 10 3 1 1
2017 11 25 ParkRapids ThiefRiverFalls 0 10 4 1 1
2018 01 25 RobbinsdaleArmstrong Wayzata 0 10 3 1 1
2018 02 13 ChisagoLakes Breck 0 10 - - 0 POG
2017 12 08 NorthlandPines USMWildcats 0 10 4 2 1
2017 11 28 PriorLake Minnetonka 0 10 1 1 0
2017 11 14 Crookston EastGrandForks 0 10 4 2 1
2017 12 12 RochesterCentury RedWing 0 10 4 1 1
2017 12 16 ParkRapids EastGrandForks 0 10 4 2 1
2017 12 07 Medford Lakeland 0 10 4 3 0
2018 01 12 InternationalFalls ParkRapids 10 0 2 4 1
2018 01 27 Woodbury ForestLake 0 10 3 1 1
2018 02 08 MorrisArea/BensonArea FergusFalls 0 10 - - 0 POG
2018 01 23 Hopkins/St.LouisPark Edina 0 10 1 1 0
2017 12 12 AlbertLea RochesterMayo 2 11 4 2 1
2017 11 18 St.PaulBlades Mahtomedi 1 10 3 1 1
2018 01 02 MinnehahaUnited St.PaulUnited 1 10 2 1 0
2018 01 06 Hudson LakeshoreLightning 10 1 1 3 1
2018 01 13 RochesterCentury Northfield 0 9 4 2 1
2017 11 24 Jamestown FergusFalls 0 9 4 2 1
2017 11 24 Proctor/Hermantown Blake 0 9 1 1 0

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updated 5/5/2023 Page 27
2017 11 30 RockCounty BadgerLightning 9 0 2 4 1
2017 12 12 Eveleth-Gilbert Proctor/Hermantown 0 9 3 1 1
2018 01 09 AlbertLea MinnehahaUnited 0 9 4 2 1
2017 12 19 BloomingtonJefferson Edina 0 9 2 1 1
2018 01 30 Breck MinnehahaUnited 9 0 1 2 0
2017 12 16 Medford Lakeland 0 9 4 3 0
2017 11 11 Buffalo Hopkins/St.LouisPark 0 9 2 1 0
2018 01 02 RochesterMayo RochesterCentury 9 0 2 4 1
2018 01 30 NewPrague RochesterJohnMarshall 9 0 1 3 1
2017 11 28 Bemidji Warroad 1 10 3 1 1
2017 12 01 RochesterJohnMarshall DodgeCounty 1 10 3 1 1
2018 01 18 Fairmont Marshall 1 10 4 3 0
2018 01 08 EastGrandForks ParkRapids 10 1 2 4 1
2018 01 16 Medford NorthernEdge 0 9 4 4 0
2018 02 08 Fairmont MankatoWest 0 9 - - 0 POG
2018 02 15 Medford CentralWisconsin 0 9 - - 0 POG
2017 11 18 Crookston FergusFalls 0 9 4 2 1
2018 01 23 Roseau Moorhead 9 0 1 2 0
2017 11 18 HolyFamily/Waconia NorthernLakes 10 1 1 3 1
2017 12 29 Arrowhead Fairmont 9 0 3 4 0
2017 12 27 RiverLakes Farmington 0 9 2 1 0
Table A-4 Games eliminated by using five Asymmetric Groups [40-40-70-40-40]
Elim
by
yyyy mm dd Team_1 Team_2 S1 S2 T1 T2 Time Tiering
=================================================================================================
2017 11 24 Duluth Edina 1 14 2 1 0
2017 11 11 Irondale Andover 0 12 3 1 1
2017 11 16 Rosemount AppleValley 1 12 3 1 1
2017 12 15 Hastings Hill-Murray 1 12 3 1 1
2017 12 12 MorrisArea/BensonArea PrairieCentre 1 12 5 3 1
2017 12 28 Medford Viroqua 1 12 5 4 0
2018 01 23 Osseo/ParkCenter Andover 1 12 3 1 1
2017 12 30 Fairmont Eveleth-Gilbert 1 12 5 3 1
2018 01 04 Bemidji ParkRapids 11 0 3 5 1
2017 12 21 NorthernLakes MorrisArea/BensonArea 13 2 3 5 1
2017 11 21 Centennial Osseo/ParkCenter 13 3 1 3 1
2018 01 18 ParkRapids NorthernLakes 0 10 5 3 1
2018 01 30 MorrisArea/BensonArea NorthernLakes 0 10 5 3 1
2017 11 28 PriorLake Minnetonka 0 10 2 1 0
2017 12 07 Medford Lakeland 0 10 5 4 0
2018 01 23 Hopkins/St.LouisPark Edina 0 10 1 1 0
2018 01 02 MinnehahaUnited St.PaulUnited 1 10 3 1 1
2017 11 24 Proctor/Hermantown Blake 0 9 2 1 0
2018 01 30 Breck MinnehahaUnited 9 0 1 3 1
2017 12 16 Medford Lakeland 0 9 5 4 0
2017 11 11 Buffalo Hopkins/St.LouisPark 0 9 3 1 1
2018 01 18 Fairmont Marshall 1 10 5 3 1
2018 01 16 Medford NorthernEdge 0 9 5 4 0
2018 01 23 Roseau Moorhead 9 0 1 3 1
2017 12 29 Arrowhead Fairmont 9 0 3 5 1
2017 12 27 RiverLakes Farmington 0 9 3 1 1